Deep Gaussian Processes: A Motivation and Introduction
Statistics Seminar
6th June 2022, 3:00 pm – 4:30 pm
Fry Building, G.10., Note: This event is hosted by the JGI - Please see the link for more details: https://www.eventbrite.co.uk/e/special-edition-heilbronn-data-science-seminar-neil-lawrence-tickets-348726669857
Modern machine learning methods have driven significant advances in artificial intelligence, with notable examples coming from Deep Learning, enabling super-human performance in the game of Go and highly accurate prediction of protein folding e.g. AlphaFold. In this talk we look at deep learning from the perspective of Gaussian processes. Deep Gaussian processes extend the notion of deep learning to propagate uncertainty alongside function values. We’ll explain why this is important and show some simple examples.
Biography:
Organiser: Juliette Unwin
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